Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Nicolas Scalzitti

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
BMC Genomics|April 11, 2020
A benchmark study of ab initio gene prediction methods in diverse eukaryotic organismsNicolas Scalzitti, Anne Jeannin-Girardon, Pierre Collet, et al.
BMC Bioinformatics|November 11, 2020
Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomesCorentin Meyer, Nicolas Scalzitti, Anne Jeannin-Girardon, et al.
Research Square|September 11, 2023
Computational Peptide Discovery with a Genetic Programming ApproachNicolas Scalzitti, Iliya Miralavy, David E Korenchan, et al.
Journal of Fungi (Basel, Switzerland)|April 28, 2023
CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking ApproachClaudine Mayer, Arthur Vogt, Tuba Uslu, et al.
Journal of Computer-Aided Molecular Design|April 3, 2024
Computational peptide discovery with a genetic programming approachNicolas Scalzitti, Iliya Miralavy, David E Korenchan, et al.
Biorxiv : the Preprint Server for Biology|December 31, 2025
Machine learning-based development of Gadolinium binding peptidesNir A Dayan, Makayla Long, Nicolas Scalzitti, et al.
BMC Bioinformatics|November 24, 2021
Spliceator: multi-species splice site prediction using convolutional neural networksNicolas Scalzitti, Arnaud Kress, Romain Orhand, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Genomics|April 11, 2020
A benchmark study of ab initio gene prediction methods in diverse eukaryotic organismsNicolas Scalzitti, Anne Jeannin-Girardon, Pierre Collet, et al.
BMC Bioinformatics|November 11, 2020
Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomesCorentin Meyer, Nicolas Scalzitti, Anne Jeannin-Girardon, et al.
Research Square|September 11, 2023
Computational Peptide Discovery with a Genetic Programming ApproachNicolas Scalzitti, Iliya Miralavy, David E Korenchan, et al.
Journal of Fungi (Basel, Switzerland)|April 28, 2023
CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking ApproachClaudine Mayer, Arthur Vogt, Tuba Uslu, et al.
Journal of Computer-Aided Molecular Design|April 3, 2024
Computational peptide discovery with a genetic programming approachNicolas Scalzitti, Iliya Miralavy, David E Korenchan, et al.
Biorxiv : the Preprint Server for Biology|December 31, 2025
Machine learning-based development of Gadolinium binding peptidesNir A Dayan, Makayla Long, Nicolas Scalzitti, et al.
BMC Bioinformatics|November 24, 2021
Spliceator: multi-species splice site prediction using convolutional neural networksNicolas Scalzitti, Arnaud Kress, Romain Orhand, et al.
Pageof 1